{"id":"W3201592903","doi":"10.1109/ijcnn52387.2021.9533905","title":"Efficient Parameter Based Online Object Tracking","year":2021,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Histogram; Discriminative model; Video tracking; Computer science; Dirichlet distribution; Mixture model; Latent Dirichlet allocation; Computer vision; Feature (linguistics); Representation (politics); Object (grammar); Generative model; Mathematics; Image (mathematics); Topic model; Generative grammar","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005017724,0.0001172053,0.0001698919,0.00006289763,0.00007944529,0.0001838248,0.000372553,0.00004744753,0.00008227056],"category_scores_gemma":[0.0003118259,0.00009944309,0.0001159808,0.0005460483,0.00001945237,0.00007241121,0.0001047779,0.0001297583,0.00004178144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002141162,"about_ca_system_score_gemma":0.0001398768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001117529,"about_ca_topic_score_gemma":0.00003234148,"domain_scores_codex":[0.9986247,0.0002127242,0.0001992113,0.0004232626,0.0002574101,0.0002826305],"domain_scores_gemma":[0.9985376,0.000557013,0.00004267935,0.0006518535,0.0001371091,0.00007376671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001175122,0.001099255,0.01450942,0.00005797945,0.00006436236,0.0007127014,0.0004471793,0.04717832,0.01064298,0.017753,0.0006286269,0.9068944],"study_design_scores_gemma":[0.0005623333,0.00004869147,0.04978197,0.00003798281,0.000006122342,0.0000441201,0.00002531313,0.8885164,0.05603652,0.001190237,0.003418068,0.0003322611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1016898,0.0001261604,0.8940752,0.001191454,0.000430866,0.00004546073,0.000001880033,0.0002440249,0.002195148],"genre_scores_gemma":[0.5825244,0.000001509594,0.415818,0.001449057,0.0000389968,0.000002129683,0.000003224211,0.000005620778,0.0001571127],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9065621,"threshold_uncertainty_score":0.4055172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04568735258642043,"score_gpt":0.3153201587799722,"score_spread":0.2696328061935517,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}